1. A Visual Analytics Approach for Patient Stratification and Biomarker Discovery
- Author
-
Alemzadeh, Shiva, Kromp, Florian, Preim, Bernhard, Taschner-Mandl, Sabine, and Bühler, Katja
- Subjects
Applications ,I.3.8 [Computer Graphics] - Abstract
We introduce discoVA as a visual analytics tool for the refinement of risk stratification of cancer patients and biomarker discovery. Currently, tools for the joint analysis of multiple biological and clinical information in this field are insufficient or lacking. Our tool fills this gap by enabling bio-medical experts to explore datasets of cancer patient cohorts. By using multiple coordinated visualization techniques, nested visual queries on various data types can be performed to generate/prove a hypothesis by identifying discrete sub-cohorts. We demonstrated the utility of discoVA by a case study involving bio-medical researchers., Eurographics Workshop on Visual Computing for Biology and Medicine, Visual Analytics in Medicine and Biology, 91, 95, Shiva Alemzadeh, Florian Kromp, Bernhard Preim, Sabine Taschner-Mandl, and Katja Bühler, Categories and Subject Descriptors (according to ACM CCS): I.3.8 [Computer Graphics]: Applications
- Published
- 2019
- Full Text
- View/download PDF